Did you know that just 5% of players generate up to 80% of an iGaming operator's revenue? The challenge is that most operators identify these high rollers only after 30 to 60 days, by which time competitors may have already offered them better cashback deals.
MICo, a developer of AI solutions for the iGaming industry, has implemented one of its machine learning products for an operator with 700k monthly active users (MAU). The results are impressive: potential high rollers can be identified as early as the 3rd to 7th day of their activity.
The algorithm analyzes player behavior—from betting dynamics to responses to bonuses—and creates a prioritized list for VIP teams faster and more accurately than standard analytical filters.
Early identification of VIP players has led to significant improvements:
- Average deposit increased by 58%
- Deposit frequency doubled
- Retention on the 30th day is 56% higher compared to those identified without ML
For a detailed breakdown of the methodology, figures, and impact on operator revenue, check out the case study from MICo.
If you're interested in seeing how this model works with your data, reach out to us. We can launch a pilot and demonstrate the effect on your high rollers.